Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add openapi/openapi-skills --skill openapi-utilitiesgit clone --depth 1 https://github.com/openapi/openapi-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openapi/openapi-skills/openapi-utilities)<a href="https://agentmods.dev/skills/openapi/openapi-skills/openapi-utilities"><img src="https://agentmods.dev/badge/skills/openapi/openapi-skills/openapi-utilities/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openapi/openapi-skills/openapi-utilities"><img src="https://agentmods.dev/badge/skills/openapi/openapi-skills/openapi-utilities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.00365 |
| Opus 5.5 | $0.00022 | $0.00146 |
| Sonnet 5.5 | $0.00011 | $0.00073 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
openapi-utilities scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Openapi utilities
Bearer token required (see the openapi-auth skill).
Exchange Rate — https://exchange.altravia.com
Single endpoint returning real-time currency exchange rates.
PDF — https://pdf.openapi.it
One endpoint: generate a PDF from a URL or an HTML string; JavaScript is rendered.
.it Domains — https://domains.altravia.com
Register and manage .it domains (availability, purchase, DNS/contacts management). Domain purchase is a paid, durable action — confirm with the user first.
AI (RAG) — https://ai.openapi.com
Managed Retrieval-Augmented Generation:
POST /rag— create a RAG;GET /rag,GET /rag/{id},DELETE /rag/{id}POST /rag/{id}/documents— upload text documents or images (metadata supported for filtered search);GET/DELETEto list/removePATCH /rag/{id}— start indexing- Query:
POST /rag-search(plain retrieval),POST /rag-search-with-answer(LLM answer),POST /rag-conversation(conversational)
Typical flow: create RAG → upload documents → index → query → delete when no longer needed.
Full specs: https://console.openapi.com/oas/en/exchange.openapi.json · …/pdf.openapi.json · …/domains.openapi.json · …/ai.openapi.json
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 33 lines · 56 tokens per session scan A 67f359956f43
openapi-utilities is a skill published in the GitHub repository openapi/openapi-skills (15 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 365 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
markitdown
Converts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.
doc-parse
A document parser that converts PDFs, PowerPoint files, spreadsheets, and Word files into structured Markdown with metadata and a confidence score.
ChatDOC Studio--KnowledgeMate
Create and operate ChatDOC Studio knowledge bases through pdrouter using a Bearer API key and JavaScript helpers. Use when Codex needs to upload one or more PDF/DOC/DOCX files, skip failed files without aborting the whole job, create a knowledge base from successful uploads, or call the ChatDOC Studio knowledge-base…
azure-ai
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
leiloeiro-edital-ranbot-ai
Analise e auditoria de editais de leilao judicial e extrajudicial. Riscos ocultos, clausulas perigosas, debitos, ocupante e classificacao da oportunidade.
antinet-doc-parse
A document-processing skill for building RAG systems, which let an AI search a knowledge base before answering. It handles complex PDF, Word, and Excel files and produces structured Markdown and metadata.